Evidence map›Paper›PMID 42461815›Full record

ArticlePLoS neglected tropical diseases2026

Reframing early warning for Nipah virus in Bangladesh: A shift from detection to anticipation.

Md Shakil Ahmed

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Md Shakil AhmedDepartment of Biochemistry and Molecular Biology, Faculty of Science, University of Rajshahi, Rajshahi, Bangladesh.ORCID https://orcid.org/0009-0002-3073-7524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nipah virus continues to pose a recurrent zoonotic threat in Bangladesh. The sporadic spillover events are associated with high case fatality and limited opportunities for clinical intervention. Despite nearly two decades of surveillance response, early warning systems remain reactive, relying heavily on laboratory confirmation and case accumulation. This Perspective argues that early warning has been conceptually misframed as outbreak detection, rather than risk anticipation. Drawing on the epidemiological characteristics of Nipah virus and Bangladesh's current surveillance architecture, this study highlights key structural constraints delaying signal recognition. These include community-level blind spots, diagnostic uncertainty, and fragmented cross-sectoral surveillance. This article also outlines priority shifts that emphasize anticipatory risk assessment, operational One Health integration, context-sensitive alert thresholds, and a direct linkage between early signals and preparedness actions. Reframing early warning in this way is essential to improve readiness for the Nipah virus and other rare, high-impact zoonotic threats.

Indexed as

Henipavirus InfectionsNipah VirusZoonosesAnimalsBangladeshDisease OutbreaksEpidemiological MonitoringHumansRisk Assessment

Identifiers

PMID42461815
PMCPMC13374892

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.